Restructure cousteau.md from a verbose AI system prompt into a concise
human reference document describing the agent's character, role, and
behaviors. Point readers to the actual system prompt location and
condense content from ~571 to ~175 lines while preserving key
philosophy, personality, and operational details.
Refactor documentation to distinguish character reference from AI
system prompt. Removed user context and persona definitions.
System prompt instructions moved to prompts/personal/bourdain.md.
- Expand system prompt from 49 to 380 lines for comprehensive guidance
- Add User context, Identity, and Communication Style sections
- Define Client advisory and Internal consulting roles explicitly
- Include signature questions and tone guidelines for consistent interaction
- Note modular composition: regenerate from canonical source files
- New docs/tools/athena.md documenting CRM capabilities and MCP tools
- Refactor docs/work/alan.md to separate system prompt from persona
reference
- Clarify Athena scope, vocabulary, and operational gotchas
Adds preview_changes method to utils/neo4j-schema-init.py. Performs
read-only queries against the live database to compare current state
against the v2.3.0 schema spec. Reports expected constraints, indexes,
and sample nodes/relationships by team.
Watson replaces Seneca as of 2026-04-28, shifting to a warmer, less goal-oriented approach.
Retained Reflection, Value, Habit, LifeEvent, and Intention node types under Watson.
Added new node types: EmotionalMemory, RelationshipTheme, DialogueNote, and DynamicPattern.
Updated the unified schema table to reflect ownership changes for these nodes.
- Introduced `neo4j-schema-init.py` for creating the foundational schema for the personal knowledge graph used by multiple AI assistants.
- Implemented functionality for creating constraints, indexes, and sample nodes, along with comprehensive testing of the schema.
- Added `neo4j-validate.py` to perform validation checks on the Neo4j knowledge graph, including constraints, indexes, sample nodes, relationships, and junk data detection.
- Enhanced logging for better traceability and debugging during schema initialization and validation processes.
